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Changelog
A toolkit for developing and comparing reinforcement learning algorithms.
Last updated over 1 year ago
"final_observation" and "final_info" keys (fixes overwrite when reset() returns (obs, info))render_mode specifiedGraphInstanceInfra: GitHub CI hardened with read-only permissions
This is a very minor bug fix release for 0.26.0
mujoco was a necessary module even if only mujoco-py was used. This has been fixed to allow only mujoco-py to be installed and used. @YouJiachengPixelObservationWrapper raises an exception if the env.render_mode is not specified. @vmoensThis release is aimed to be the last of the major API changes to the core API. All of the previously "turned off" changes of the base API (step termination / truncation, reset info, no seed function, render mode determined by initialization) are now expected by default. We still plan to make breaking changes to Gym itself, but to things that are very easy to upgrade (e...
This is a fairly minor bug fix release.
_TimeLimit.truncated in info for step compatibility functions. This makes the step compatible with Envpool @arjun-kgDict spaces matters when flattening spaces, updated the __eq__ to account for the .keys() ordering. @XuehaiPanCarRacing env...PixelObservationWrapper only supports the new render API due to difficulty in supporting both old and new APIs. A warning is raised if the user is using the old API @vmoensThis release finally introduces all new API changes that have been planned for the past year or more, all of which will be turned on by default in a subsequent release. After this point, Gym development should get massively smoother. This release also fixes large bugs present in 0.24.0 and 0.24.1, and we highly discourage using those releases.
Step - A maj...This is a bug fix release for version 0.24.0
Bugs fixed:
step and reset during make. This new version is a wrapper that will observe the data that step and reset returns on their first call and check the data against the environment checker. @pseudo-rnd-thoughtsMajor changes
pip install gym[mujoco] with the old bindings still being
available using the v3 environments and pip install gym[mujoco-py].
These new v4 environment should have the same training curves as v3. For the Ant, we found...This release contains a few small bug fixes and no breaking changes.
VideoRecorder backward-compatible to gym<0.23 by @vwxyzjn in https://github.com/openai/gym/pull/2678This release contains many bug fixes and a few small changes.
Breaking changes:
Many minor bug fixes (@vwxyzjn , @R...
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